TY - RPRT A1 - Biermayr, Peter A1 - Dißauer, Christa A1 - Eberl, Manuela A1 - Enigl, Monika A1 - Fechner, Hubert A1 - Fischer, L. A1 - Leonhartsberger, Kurt A1 - Maringer, F. A1 - Moidl, S. A1 - Schmidl, C. A1 - Strasser, C. A1 - Weiss, W. A1 - Wonisch, P. A1 - Wopienka, E. T1 - Innovative Energietechnologien in Österreich - Marktentwicklung 2018 T2 - BMVIT Schriftenreihe 04/2018 KW - Energy Technology KW - Economy KW - Market Y1 - ER - TY - CHAP A1 - Illich, Peter A1 - Eder, Gabriele C. A1 - Berger, Karl A. A1 - Ujvári, Gusztáv A1 - Rechberger, P. A1 - Moor, D. A1 - Aichinger, Martin T1 - Comparative Performance Measurements of Identical BIPV-Elements in Different Climatic Environments - A Round Robin Action within the IEA PVPS Task 15 Collaboration T2 - 35th European Photovoltaic Solar Energy Conference and Exhibition KW - Photovoltaics KW - Solar Power Y1 - SN - 3-936338-50-7 ER - TY - JOUR A1 - Zhang, Hang A1 - Yao, Yuan A1 - Ma, Yingxin A1 - Lackner, Maximilian A1 - Jiang, Yunliang T1 - A 3D printing tool-path generation strategy based on the partition of principal stress field for fused filament fabrication JF - The International Journal of Advanced Manufacturing Technology N2 - In order to enhance the strength of 3D-printed parts made of polymer materials and reduce the anisotropy caused by the fused filament fabrication process, this paper proposes an inter-layer interleaved composite path planning method based on the directional partition of the principal stress field. This method not only ensures intra-layer reinforcement under specific working conditions but also increases the strength of the printed part by enhancing the adhesion of adjacent layers through staggered filling between layers. The mechanical performance is improved by 10 to 30% compared to other conventional filling patterns such as the zigzag filling algorithm. Inter-layer interleaved composite enhancement path planning method is suitable for path planning of structures with complex shapes and is easily integrated into existing general computer-aided engineering processes. KW - Principal stress field KW - Anisotropy strength KW - Clustering Y1 - IS - 122 SP - 1719 EP - 1735 ER - TY - JOUR A1 - Wöber, Wilfried A1 - Curto, Manuel A1 - Tibihika, Papius D. A1 - Meulenboek, Paul A1 - Alemayehu, Esayas A1 - Mehnen, Lars A1 - Meimberg, Harald A1 - Sykacek, Peter T1 - Identifying geographically differentiated features of Ethopian Nile tilapia (Oreochromis niloticus) morphology with machine learning JF - PlosONE KW - Machine Learning Y1 - VL - 16 IS - 4 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Tibihika, Papius D A1 - Olaverri-Monreal, Cristina A1 - Mehnen, Lars A1 - Sykacek, Peter A1 - Meimberg, Harald T1 - Comparison of Unsupervised Learning Methods for Natural Image Processing T2 - Biodiversity Information Science and Standards KW - Machine Learning KW - Deep Learning KW - Image Processing Y1 - IS - 3 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Szuegyi, Daniel A1 - Kubinger, Wilfried A1 - Mehnen, Lars T1 - A principal component analysis based object detection for thermal infra-red images T2 - Proceedings of the 55th International Symposium ELMAR KW - Principal Component Analysis KW - Object Detection KW - Infra-Red Camera Y1 - 2019 ER - TY - GEN A1 - Spulak, David A1 - Otrebski, Richard A1 - Kubinger, Wilfried T1 - Object Tracking by Combining Supervised and Adaptive Online Learning through Sensor Fusion of Multiple Stereo Camera Systems KW - Object Tracking Y1 - ER - TY - JOUR A1 - Taghavi, Marziyeh A1 - Taghizadeh, Akbar A1 - Mehmannavaz, Yousef A1 - Hosseinkhani, Ali A1 - Mohammadzadeh, Hamid A1 - Macit, Muhlis A1 - Palangi, Valiollah A1 - Lackner, Maximilian T1 - Degradability of Vicia ervilia Grain Using In Situ and CNCPS Methods, and Model-Based Analysis of Its Ruminal Degradation JF - Fermentation N2 - Using nylon bag techniques, Cornell net carbohydrates and protein systems (CNCPS), and scanning electron microscopy, the authors examined the digestibility and structure of Vicia ervilia (ervil, bitter vetch) after steam flaking, roasting, and microwave processing. During the in situ technique, the samples were incubated at 0, 2, 4, 6, 8, 12, 16, 24, 36, and 48 h. For the description of the ruminal DM (dry matter) and CP (crude protein) degradation kinetics of treated and untreated Vicia ervilia, different models were selected as the best fit for the dry matter (DM) and crude protein (CP) degradation parameters of steam flaked samples. The results showed that both the steam flaking and microwave treatment samples contained high levels of non-protein nitrogen and buffer soluble protein, respectively. In comparison with steam flaking and microwave treatment, roasting decreased and increased the buffer soluble protein and neutral detergent insoluble protein, respectively. The control treatments showed the highest levels of neutral detergent soluble protein and the lowest levels of acid detergent soluble protein. Moreover, steam flaking and roasting decreased and increased the amount of acid detergent insoluble protein, respectively. When using dry heat (microwave and roasting), the acid detergent soluble and insoluble protein fractions were increased. As a result of this experiment, the nitrogen fractions were altered using heat processing. Hence, protein fermented feed and ruminal fermentation conditions can be expressed using these results. KW - Vicia ervilia KW - steam flaking KW - microwave KW - roasting Y1 - U6 - http://dx.doi.org/10.3390/fermentation9050419 VL - 9 IS - 5 ER - TY - JOUR A1 - Ahmadzadeh, Leila A1 - Hosseinkhani, Ali A1 - Palangi, Valiollah A1 - Lackner, Maximilian T1 - Supplementary Feed Additives Can Improve Lamb Performance in Terms of Birth Weight, Body Size, and Survival Rate JF - Animals KW - feed restriction KW - monensin sodium KW - offspring performance Y1 - U6 - http://dx.doi.org/10.3390/ani13060993 IS - 13 / 6 ER - TY - CHAP A1 - Wöber, Wilfried A1 - Aburaia, Mohamed A1 - Olaverri-Monreal, Cristina T1 - Classification of Streetsigns Using Gaussian Process Latent Variable Models T2 - 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), Graz, Austria KW - Streetsigns KW - Gaussian KW - Vehicles Y1 - 2020 ER -